Mario Lauria

2.2k total citations
57 papers, 1.2k citations indexed

About

Mario Lauria is a scholar working on Computer Networks and Communications, Molecular Biology and Hardware and Architecture. According to data from OpenAlex, Mario Lauria has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 24 papers in Molecular Biology and 16 papers in Hardware and Architecture. Recurrent topics in Mario Lauria's work include Parallel Computing and Optimization Techniques (16 papers), Distributed and Parallel Computing Systems (14 papers) and Advanced Data Storage Technologies (12 papers). Mario Lauria is often cited by papers focused on Parallel Computing and Optimization Techniques (16 papers), Distributed and Parallel Computing Systems (14 papers) and Advanced Data Storage Technologies (12 papers). Mario Lauria collaborates with scholars based in Italy, United States and Germany. Mario Lauria's co-authors include Andrew A. Chien, Scott Pakin, Gerald Baumgartner, Laura Caberlotto, Corrado Priami, Marco Scotti, Thanh-Phuong Nguyen, Diego di Bernardo, Luca Marchetti and Lucia Carboni and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Mario Lauria

55 papers receiving 1.1k citations

Peers

Mario Lauria
Comparison fields: 5 of 118
  • Computer Networks and Communications 552
  • Molecular Biology 358
  • Hardware and Architecture 334
  • Information Systems 126
  • Physiology 114
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Citations per field, relative to Mario Lauria
Mario Lauria · 1×
Citations per year, relative to Mario Lauria
Mario Lauria · 1×

Countries citing papers authored by Mario Lauria

Since Specialization
Citations

This map shows the geographic impact of Mario Lauria's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mario Lauria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Lauria more than expected).

Fields of papers citing papers by Mario Lauria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Lauria. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mario Lauria. The network helps show where Mario Lauria may publish in the future.

Co-authorship network of co-authors of Mario Lauria

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Lauria. A scholar is included among the top collaborators of Mario Lauria based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Lauria. Mario Lauria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 4
3 17
4 20
5 5
6 1
7 2
8 16
9 24
10 15
11 4
12 17
13 37
14 107
15 19
16 15
17 7
18
Proceedings of the 2009 international conference on Pervasive services
6
19
Network-based parallel computing : communication, architecture, and applications : Third International Workshop, CANPC'99, Orlando, Florida, USA, January 9th, 1999 : proceedings
1
20
High Performance Virtual Machines (HPVM'S): Clusters with Supercomputing API's and Performance.
0

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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